amazon-science / adaptive-in-context-learningLinks
AdaICL: Which Examples to Annotate of In-Context Learning? Towards Effective and Efficient Selection
☆18Updated 2 years ago
Alternatives and similar repositories for adaptive-in-context-learning
Users that are interested in adaptive-in-context-learning are comparing it to the libraries listed below
Sorting:
- In-Context Sharpness as Alerts: An Inner Representation Perspective for Hallucination Mitigation (ICML 2024)☆62Updated last year
- [ACL 2024] Shifting Attention to Relevance: Towards the Predictive Uncertainty Quantification of Free-Form Large Language Models☆59Updated last year
- source code for NeurIPS'24 paper "HaloScope: Harnessing Unlabeled LLM Generations for Hallucination Detection"☆61Updated 7 months ago
- [AAAI 2024] MELO: Enhancing Model Editing with Neuron-indexed Dynamic LoRA☆26Updated last year
- ☆25Updated 7 months ago
- Official code for ICML 2024 paper on Persona In-Context Learning (PICLe)☆26Updated last year
- code for EMNLP 2024 paper: How do Large Language Models Learn In-Context? Query and Key Matrices of In-Context Heads are Two Towers for M…☆13Updated last year
- RWKU: Benchmarking Real-World Knowledge Unlearning for Large Language Models. NeurIPS 2024☆86Updated last year
- [ICLR 2025] Code&Data for the paper "Super(ficial)-alignment: Strong Models May Deceive Weak Models in Weak-to-Strong Generalization"☆13Updated last year
- ☆41Updated last year
- [NeurIPS 2024] "Can Language Models Perform Robust Reasoning in Chain-of-thought Prompting with Noisy Rationales?"☆37Updated 4 months ago
- [ACL 2024] Learning to Edit: Aligning LLMs with Knowledge Editing☆36Updated last year
- ☆180Updated last year
- [2025-TMLR] A Survey on the Honesty of Large Language Models☆62Updated 11 months ago
- [NeurIPS 2023] Github repository for "Composing Parameter-Efficient Modules with Arithmetic Operations"☆61Updated last year
- Accepted LLM Papers in NeurIPS 2024☆37Updated last year
- Code for ACL 2024 accepted paper titled "SAPT: A Shared Attention Framework for Parameter-Efficient Continual Learning of Large Language …☆36Updated 10 months ago
- ☆30Updated last year
- [ACL 2024] Code and data for "Machine Unlearning of Pre-trained Large Language Models"☆62Updated last year
- This repo contains the source code for reproducing the experimental results in semantic density paper (Neurips 2024)☆16Updated last month
- Official Code Repository for the paper "Knowledge-Augmented Reasoning Distillation for Small Language Models in Knowledge-intensive Tasks…☆41Updated 11 months ago
- ☆63Updated 8 months ago
- code repo for ICLR 2024 paper "Can LLMs Express Their Uncertainty? An Empirical Evaluation of Confidence Elicitation in LLMs"☆137Updated last year
- [NeurIPS 2024] Official code of $\beta$-DPO: Direct Preference Optimization with Dynamic $\beta$☆49Updated last year
- ☆47Updated last year
- ☆13Updated 4 months ago
- Models, data, and codes for the paper: MetaAligner: Towards Generalizable Multi-Objective Alignment of Language Models☆24Updated last year
- Analyzing and Reducing Catastrophic Forgetting in Parameter Efficient Tuning☆36Updated last year
- Code for paper: Aligning Large Language Models with Representation Editing: A Control Perspective☆34Updated 9 months ago
- The implement of paper:"ReDeEP: Detecting Hallucination in Retrieval-Augmented Generation via Mechanistic Interpretability"☆50Updated 5 months ago